Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63823

Using web and social media analytics to measure campign effectiveness

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63823

Volume:

10 |

5 |

May 2026

Pages:

1-14

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

PG

Prathmesh Gaikwad

Management

MIT ADT UNIVERSITY PUNE

Download Author Certificate

Mentors

DIc

Dr Irfan chaugule

Management

MIT ADT UNIVERSITY PUNE

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

The rapid growth of digital platforms has transformed the way organizations design, implement, and evaluate marketing campaigns. Web and social-media analytics have emerged as essential tools for measuring campaign effectiveness by providing data-driven insights into audience behavior, engagement, reach, and conversion performance. This study focuses on the role of web analytics and social-media analytics in assessing the success of digital campaigns across various online platforms. The research examines key performance indicators such as website traffic, click-through rate, engagement rate, impressions, conversion rate, and return on investment to understand campaign outcomes. The study explores how analytical tools help organizations track user interactions, monitor customer responses, and optimize marketing strategies in real time. Data collected from websites and social-media platforms are analyzed to identify patterns in audience engagement, campaign reach, and customer acquisition. The research also highlights the practical applications of analytics in improving decision-making, targeting specific audiences, and enhancing campaign performance. In addition, the study discusses challenges associated with analytics, including data privacy concerns, platform algorithm changes, and difficulties in measuring cross-platform performance. The findings indicate that integrating web and social-media analytics enables businesses to make informed marketing decisions, improve customer engagement, and maximize campaign effectiveness. The research concludes that analytics-driven campaign evaluation is essential for achieving competitive advantage in modern digital marketing environments.

KEYWORDS

Web and Social Media Analytics

Cite This Article

Prathmesh Gaikwad, Dr Irfan chaugule, "Using web and social media analytics to measure campign effectiveness," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-14, May 2026.

Full Article/Conclusion

Web and social-media analytics have become essential tools for measuring campaign effectiveness in the digital marketing environment. These analytics help organizations understand audience behavior, monitor engagement, track conversions, and evaluate marketing performance. Through measurable data, businesses can determine whether campaigns achieve their objectives and identify areas for improvement. Web analytics provides valuable information about website performance, visitor activity, traffic sources, and conversion patterns. Social-media analytics complements this by measuring audience engagement, content reach, and customer interaction across platforms. Together, these analytical approaches create a comprehensive understanding of campaign success. The study demonstrates that data-driven marketing strategies are more effective than relying on assumptions or traditional feedback methods. By using key performance indicators such as website traffic, click-through rate, engagement rate, and return on investment, organizations can make informed decisions and optimize future campaigns. Analytics also supports better audience targeting and personalized communication. Although challenges such as data privacy, algorithm changes, and cross-platform integration exist, the benefits of analytics remain significant. The future of campaign measurement will continue to evolve with advanced technologies and integrated systems. Overall, web and social-media analytics contribute to stronger marketing performance, improved customer engagement, and long-term business growth.

References

Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: Strategy, implementation and practice (7th ed.). Pearson Education. Fan, W., & Gordon, M. D. (2014). The power of social media analytics. Communications of the ACM, 57(6), 74–81. Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: Marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269–293.   Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531–558. Kaushik, A. (2010). Web analytics 2.0: The art of online accountability and science of customer centricity. Wiley Publishing.   Kingsnorth, S. (2019). Digital marketing strategy: An integrated approach to online marketing (2nd ed.). Kogan Page. Kumar, V., Rajan, B., Gupta, S., & Pozza, I. D. (2019). Customer engagement in service. Journal of the Academy of Marketing Science, 47(1), 138–160.   Marr, B. (2018). Data strategy: How to profit from a world of big data, analytics and the Internet of Things. Kogan Page.   Patrutiu-Baltes, L. (2016). Inbound marketing—The most important digital marketing strategy. Bulletin of the Transilvania University of Brasov, 9(58), 61–68.

Editorial & Review Transparency

Publication Date

5/25/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...